Development of a Centralized IoT Power Monitoring and Analytics System for Energy Management

The client operates power distribution units (PDUs) and backup systems that currently only provide real-time status updates, limiting visibility into historical data and trend analysis. The existing monitoring relies on discrete, localized data collection methods that do not support centralized oversight, proactive alerts, or comprehensive analytics. This hampers operational efficiency, timely fault detection, and strategic planning for energy utilization.

A mid-to-large scale energy service provider managing distributed power systems that require real-time monitoring and analytics to ensure reliability and optimize usage.

• Implement a scalable system to collect real-time data from distributed power devices via standardized network interfaces.
• Provide operators with a centralized dashboard displaying current and historical power metrics, including utilization rates and input levels.
• Enable real-time alerts and notifications for abnormal power conditions to facilitate proactive intervention.
• Aggregate and store all data centrally in a cloud platform to enable future reporting, analysis, and optimization efforts.

• Edge data collection nodes (e.g., embedded devices or microcontrollers) interfacing with power hardware via protocols such as Modbus or similar network interfaces.
• Local application on edge devices to poll data periodically, store measurements locally, and serve as API endpoints.
• Web-based dashboard providing real-time visualization of multiple metrics, including power draw, supply quality, and utilization rates.
• Alerting system that triggers notifications (via SMS, email, or other channels) when input levels or other parameters exceed defined thresholds.
• Secure data transmission to cloud storage using protocols like MQTT, ensuring reliable and scalable data streaming.
• Central cloud database capable of aggregating data streams from multiple locations for comprehensive analytics.

• Power hardware interfaces via Modbus or equivalent protocols
• Cloud storage services for long-term data retention
• Messaging services such as Twilio for notifications
• Authentication and security services for system access control

• System scalability to support monitoring of hundreds of power units across multiple sites
• High availability and reliability for continuous data collection and alerts
• Secure data transmission and storage complying with industry standards
• Real-time processing with minimal latency to ensure timely alerts
• Ease of deployment and updates via modern continuous deployment tools

The implemented system will significantly improve operational visibility, enabling proactive fault detection and maintenance. By centralizing data collection and analytics, the client can optimize energy utilization, reduce downtime, and enhance overall system reliability. Expected outcomes include accelerated response times, data-driven decision making, and the ability to generate detailed reports that support strategic energy management initiatives.